Paper 'Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control' accepted by 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025).
Paper accepted by the IEEE Transactions on Intelligent Transportation Systems (T-ITS).
New work on diffusion-based locomotion policy published on project website.
Paper accepted by the 35th IEEE Intelligent Vehicles Symposium (IV 2024).
Working papers include 'EFedPOB: Sample-Efficient Federated Prompt Optimization via Bandits' and 'T-POP: Test-Time Personalization with Online Preference Feedback'.
Background
Research Interests: Large Language Models, Data-centric AI, and Reinforcement Learning. Profile: Currently a first-year Ph.D. student in Computer Science at the School of Data Science, The Chinese University of Hong Kong, Shenzhen.
Miscellany
Personal interests: Feel free to write an email to connect or make friends! Let's explore the exciting world together!